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Nonmonotone adaptive trust-region method for unconstrained optimization problems
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DOI：10.1016/j.amc.2004.02.011.png)
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In this paper, an adaptive trust region method with nonmonotone technique for unconstrained optimization problems is presented and analyzed. The global and local convergence results of the algorithm are established. Numerical results show that the new method is efficient. (C) 2004 Elsevier Inc. All rights reserved.
Keyword:
trust region method
unconstrained optimization
global convergence
superlinear convergence
nonmonotone methods
期刊
IF:
3.4
论文数:
2.3W
被引数:
3.3W
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